Fake News Classification

As fake news becomes more of a problem across the US, its consequences are becoming more and more damaging. This project aims to combat this disinformation through an artificial intelligence algorithm that can classify real articles versus fake ones.

As fake news becomes more of a problem across the US, its consequences are becoming more and more damaging. Many viewers who interact with information online are unable to distinguish the difference between fake information and real information, especially with social media worsening the spread of fake articles. This project aims to combat this disinformation through an artificial intelligence algorithm that can classify real articles versus fake ones. The model utilizes a BERT model and is tested on two different datasets, the Kaggle dataset and the LIAR dataset. The results are also presented through an app where readers can input any article and immediately find out whether it contains false information or not.

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Research Paper